TECHNICS PYTHON IN 60 MINUTES TUTORIAL

TECHNICS PYTHON IN 60 MINUTES TUTORIAL
English | Size: 173.38 MB
Category: Tutorial
Python Overview. This first clip in the Python video series introduces Python. The different Python versions are compared and we discuss what makes Python unique. Learn how to create and manipulate variables in Python Data Types and Printing in Python. This second clip in the Python video series covers all of the different data types on Python including Integer, Long, Float, Complex, Strong, and Boolean. Learn also about the print function Binary Operators and Control Flow in Python. This third clip in the Python video series covers how to perform addition subtraction, multiplication, division, and modulus in Python. Also learn about conditional flow such as the if-then, for, and while statements Data Structures in Python. This fourth clip in the Python video series covers the various data structures in Python. We introduce primitive data structures such as integers, floats strings, and Boolean, as well as non-primitive structures such as lists, dictionaries, tuples, and sets Dictionaries in Python. This fifth clip in the Python video series explains the Dictionary and how it is created through key value pairs Comprehensions in Python. This sixth clip in the Python video series explains comprehensions in Python. See how comprehensions can improve performance, explore the four types (lists, sets dictionaries, and generators), and practice creating comprehensions using Jupyter Notebook Functions in Python. This seventh clip in the Python video series explains functions, the various types of functions, and then similar to prior clips, we will practice in Jupyter Notebook


TECHNICS KAFKA FUNDAMENTALS TUTORIAL

TECHNICS KAFKA FUNDAMENTALS TUTORIAL
English | Size: 693.89 MB
Category: Tutorial
hands-on through eight essential topics: Kafka Explanation. This first clip in the Kafka video introduces this distributed streaming platform. Learn about Producers, Consumers, and Message Brokers, and why Kafka is so useful and powerful Kafka Terminology. This second clip in the Kafka video series explains key Kafka concepts including Clusters, Brokers, Topics Partitions, Producers, Consumers, Offsets, Zookeepers, and Consumer Groups Kafka Case Study. This third clip in the Kafka video series illustrates Kafka through a convenience store case study Kafka Robustness. This fourth clip in the Kafka video series explores why Kafka is so robust and covers the topics of scalability, fault tolerance, and replication. Learn how Kafka leverages partitions and clusters, and understand the benefits of a distributed system Kafka Installation and Basic Functionality. This fifth clip in the Kafka video shows you how to set up the entire Kafka environment. Also create Brokers and Producers, and send a few Messages using Kafka Kafka Manager. This six clip in the Kafka video shows you how to leverage Kafka Manager to create, edit, and delete Brokers Clusters, and Topics Kafka Node Administration. This seven clip in the Kafka video explains advanced node functionality in Kafka, including how to set up a Muli-Node Kafka Cluster on a single computer and also across machines. You can use an account for node administration in Amazon AWS or Google Cloud Kafka Cluster Administration. This eighth clip in the Kafka video explains advanced functionality around clusters. This clip also summarizes everything you ve learned in this Kafka video series


STONE RIVER ELEARNING INTRODUCTION TO R TUTORIAL

STONE RIVER ELEARNING INTRODUCTION TO R TUTORIAL
English | Size: 3.13 GB
Category: Tutorial
The Introduction to R is a primary course for aspiring data scientists who are currently working with Microsoft Excel, Matlab Mathematica or SAS for numerical analysis of large sets of data The course enables the candidates in using more powerful OpenSource environments especially the R programming language. R is a functional programming environment employed by many data analysts and data scientists, easily accessible to non-programmers and naturally extending a skill set that is common to data analysts and data scientists. It's the perfect tool for when the one has a statistical, numerical, or probabilities-based problem based on real data and they've pushed those tools past their limits. This fundamental course covers all the necessary topics required to kick start the candidates in working with R
| programming language. This introductory course provides a complete coverage of the fundamentals of R programming language, including its uses, benefits and applications. The students who enroll in this course will move one step closer to become accomplished data scientists. The course covers the umbrella of technologies that are on the leading edge of data science development focused on R and related tools